Completed Cancer Digestion, Kidneys & Other Organs

Developing Personalised Medicine for Malignant Melanoma.

In plain English

AI plain-English summary

Half of all melanomas carry a specific mutation in the BRAF gene, and while drugs that block BRAF or its partner MEK can shrink these tumours, most patients relapse within six to eight months. This matters because melanoma is a potentially deadly skin cancer, and the current targeted treatments—though a breakthrough in personalised medicine—fail about 20 to 40 percent of patients from the start (intrinsic resistance), and the majority of those who do respond eventually stop responding (acquired resistance). Only around 5 percent of patients achieve long-term remission. The problem is that doctors cannot predict which patients will resist treatment, nor can they track how the cancer evolves to evade the drugs. If this research succeeds, it will give clinicians a practical monitoring system. By using next-generation DNA sequencing and mass spectrometry to analyse tumour samples from late-stage patients on BRAF or MEK inhibitors, the team aims to identify the molecular mechanisms driving resistance. They will then draw up guidelines to stratify early-stage patients by their likelihood of response and predict which resistance pathways are most probable. The ultimate goal is a real-time monitoring process that allows doctors to adjust treatment as the disease changes—for example, promptly switching a patient to a second-line therapy or a clinical trial the moment first-line treatment begins to fail. This would turn melanoma care from a one-shot approach into a genuinely adaptive, personalised strategy.

View original technical description
Melanoma is a potentially deadly form of skin cancer. Approximately 50% of melanomas carry mutations in the protein kinase BRAF and drugs that target BRAF, or its downstream substrate MEK can improve progression-free and overall survival in BRAF mutant melanoma patients. However, although ~5% of BRAF mutant melanoma patients do derive long-term remission with these agents, most patient responses to BRAF or MEK inhibitors are limited because about 20-40% of patients carrying a BRAF mutation do no t respond (intrinsic resistance), and after only 6-8 months of disease control, the majority of patients who do respond will relapse (acquired resistance). Thus, although these treatments provide a new paradigm of personalised medicine in melanoma, clinical resistance is a persistent problem. I am proposing to develop systems to improve the personalisation of melanoma patient treatment. We shall use next generation sequencing and mass spectrometry to define mechanisms of resistance in late-stage melanoma patients undergoing treatment with BRAF or MEK inhibitors. We shall use this knowledge to draw guidelines that will allow improved stratification of early-stage patients to improve likelihood of response and allow prediction of likely mechanisms of resistance. Our aim is to establish processes that can be used to monitor patient responses to drugs in real time to allow clinicians to make adjustments to the treatment of individual patients as the disease evolves. In particular, we wish to use these proactive monitoring systems to ensure that patients are offered second-line treatments or clinical trials promptly once their first-line treatment fails.

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Researchers

Richard Marais (EPMC Awardee)

Related Research

Grants with similar aims, by meaning.

Molecular Oncology Group
A chemical genetic approach to identify pharmacological targets co-operating with melanoma drivers and their validation as combinatorial therapeutic targets
Circulating tumour DNA guided Adaptive BRAF and MEK Inhibitor therapy
Evaluation of non-invasive metabolic imaging biomarkers for novel RAF/MEK1/2-targeted anti-cancer agents
Investigating Drug Resistance Through Epigenetic Aberrations in Melanoma

Original classification

Investigator Award in Science

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